AI Firewall & LLM Proxy — PII Redaction, Smart Routing, Budget Enforcement

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April 11, 2026

2026 Rank: #1100

AI Security Gateway

United States AI security

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AI Firewall & LLM Proxy — PII Redaction, Smart Routing, Budget Enforcement

Agent-loop-protection AI Firewall AI Governance Discussions AI Integration AI Security APIFree + from $29/mo

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Overview

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AI Security Gateway (AISG) is a vendor-neutral AI firewall and LLM proxy and AI Governance Gateway with DLP, SSO, RBAC, SIEM, and Hybrid VPC. Auto-redacts 30+ PII types from LLM prompts, routes across 600+ models and 8 providers, enforces per-project budgets, kills agent loops, and streams security events to your SIEM. Enterprise SSO (Okta, Azure AD, Google Workspace), 4-tier RBAC, and Hybrid VPC deployment where prompts never leave your network. OpenAI SDK compatible. Open-source core (Apache 2.0).

It sits between your app and LLM providers (OpenAI, Anthropic, Google, Meta, Mistral, xAI, Groq, DeepInfra, TogetherAI and others) to enforce security policies before prompts reach any third party. Drop it in with a 2-line base URL change.

Core capabilities:

🔒 PII Redaction: Auto-detects and redacts 28+ entity types (names, emails, SSNs, credit cards, etc.) from prompts before they leave your infrastructure
👁️ Vision DLP: OCR-based scanning of images for sensitive data before sending to vision models
⚡ Smart Routing: Automatically selects the most cost-efficient provider across 380+ models
💰 Budget Enforcement: Per-project spending caps with hard limits — requests blocked when budget is exhausted
🛡️ Project-Level DLP Policies: Versioned, per-project security policies with custom regex patterns
🚫 Prompt Injection Blocking: Heuristic detection of jailbreak and injection attempts
⚡ Recursive loop protection — auto-kills agent retry loops ($108/hr saved)
🛡️ HMAC-SHA256 webhook alerts — push to Slack, PagerDuty, or SIEM in real time
👁️ Hybrid VPC deployment — compiled Go proxy runs inside your infrastructure
🛡️ Docker Compose + Kubernetes — 3-container stack, deploy in minutes
🛡️ SAML SSO — Okta, Azure AD, Google Workspace with auto-provisioning
🛡️ 4-tier RBAC — Owner, Admin, Member, Viewer with 17 granular permissions
👁️ SIEM Connectors — stream events to Splunk HEC, Datadog Logs, or Microsoft Sentinel
🛡️ On-premises DLP — 30+ PII entity types redacted locally, sub-50ms
⚡ Cloud-managed policies — update rules from dashboard, synced every 30s
👁️ Zero data egress — only metadata (token counts, violation counts, latency) reaches cloud
🛡️ Fail-closed architecture — blocks requests if DLP unavailable, never fails open
🛡️ Private container registry — authenticated image pulls, deployment token provisioned during onboarding

Compliance:
• EU AI Act Article 12 compliant audit logging (enforcement: Aug 2, 2026)
• Hash-chained tamper-evident records — SHA-256 fingerprints, no raw content
• JSONL export + chain verification API
• GDPR, HIPAA, PCI-DSS ready

✅️ Privacy by design: Stateless proxy architecture — prompts and responses exist only in volatile memory during processing. Zero retention. No training on your data.

✅️ Integration:
• OpenAI SDK compatible — 2-line code change
• Python SDK: pip install aisg
• Streaming (SSE) fully supported
• Open-source core: Apache 2.0

✅️ Free: 1M credits, no credit card. Try the AI Leak Checker (no signup): aisecuritygateway.ai/ai-leak-checker

🔗 Open source: https://github.com/aisecuritygateway/aisecuritygateway

Supported features

Key Features

Ai Prompt Leak Protection
Llm Prompt Pii Redaction
Ai Security Firewall
Stateless Ai Firewall
Pii Redaction (28+ Entity Types)
Prompt Injection Detection
Vision Ocr Dlp (scans Images For Pii)
Credit Card Detection With Luhn Validation
Recursive Loop Protection
Api Key And Secret Detection
Works With All Major Llm Providers
Eu Ai Act Compliance Logging
Access To Llm Models
Openai Sdk Compatible Proxy
Webhook Notifications
Private And Secure: Your Data Is Never Used For Training
Multi-provider Support (anthropic/openai/gemini)
Model Gateway: Use Built-in Provider Keys; One Billing Surface For Models
Multi-provider Smart Routing
200+ Llm Models Supported
Budget Enforcement Per Project
Cost Optimization Across Providers
Byok (bring Your Own Key) With 0% Markup
2-line Code Integration
Zero Data Retention
Python Sdk
Jsonl Audit Export
Chain Verification Api
1m Free Credits (no Credit Card)
Openai, Anthropic, Groq, Gemini, Mistral, Llama, Xai Support
Saml Sso — Okta, Azure Ad, Google Workspace With Auto-provisioning
4-tier Rbac — Owner, Admin, Member, Viewer With 17 Granular Permissions
Siem Connectors — Stream Events To Splunk Hec, Datadog Logs, Or Microsoft Sentinel
Hybrid Vpc — Compiled Go Proxy In Your Network, Cloud Dashboard For Policies
Per-project Budget Enforcement With Hard Spending Caps

Releases

AI Security GatewayInitial

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Initial release

April 11, 2026

Initial release of AI Security Gateway.

Author

Binu George

@binu-george

Founder @ Datum Fuse LLC. Software architect building infrastructure for the next phase of AI adoption. Currently building AI Security gateway — an AI firewall and governance layer that helps teams prevent data leaks, control LLM costs, and stay vendor-neutral across OpenAI, Claude, and open-source models. Focused on solving real production problems in AI: security, cost, and control.

aisecuritygateway.ai

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ai arena

🙏 3 karma

Apr 14, 2026

@ initial release

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@AI Security Gateway

AI firewall for PII and smart routing looks promising.

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Pros and Cons

Pros

Professional security gateway

Hardened, stateless firewall

Supports 300+ models

Total data sovereignty enforcement

Real-time redaction of 28+ PII entities

Image OCR for PII detection

Autonomous cost-optimized routing

Saves up to 90% vs GPT-4o

Per-project budget governance

Token quotas enforcement

Audit-ready security logs

Integration in 2 lines of code

Privacy-first governance layer

Never persist prompt content

Smart routing of provider efficiency

Hard budget enforcement

Full audit trails

GDPR, HIPAA, PCI-DSS compliant

Prevention of vendor lock-in

Dashboard-configured spending limits

Security and compliance awareness

Model versatility

Automated PII protection

Multi-Modal Data Loss Prevention

Autonomous cost control

Cost-optimized provider routing

Neutral governance layer

Security auditing

API Key Generation

No data persistence

Pay-as-you-go Wallet mode

Pro Plan for BYOK

Zero-Percent Markup option

Sensitive Data Auto-redaction

Starts with 1 Million free credits

Budget enforcement per API key

Disposable API request logs

Platform Neutral Implementation

Active Firewall Functionality

Built-in DLP Policy Engine

Prompt Injection Blocking

Scan and Clean Data Functionality

Optimize cost and enforce limits

PII is removed inside Hub

Custom Regex IP Guard

Multiple Provider Failover Functionality

View 41 more pros

Cons

Wallet mode Pay as you got starts at $10

Provider optimization not customizable

Only 28+ PII entities detected

No OCR scanning customizations

Pro plan required for BYOK

Q&A

What is OpenSourceAIHub?

OpenSourceAIHub is an open-source AI firewall and proxy designed to enhance data security and cost optimization when using Language Learning Models (LLMs). It provides a layer of security that sanitizes application prompts for sensitive data types before they reach AI models in third-party servers, thus helping prevent personal identifiable information (PII) leaks. The tool also enables effective control over request routing to the most cost-efficient provider, all while requiring minimal code alterations for integration into existing systems.

How does OpenSourceAIHub prevent data leaks?

OpenSourceAIHub mitigates data leaks by efficiently sanitizing application prompts for sensitive data types before they reach AI models in third-party servers. Its AI firewall inspects every message before it leaves and removes any sensitive details. This process helps prevent leaks of personal identifiable information (PII) such as names, emails, credit cards, or passwords.

Does OpenSourceAIHub support cost optimization?

Yes, OpenSourceAIHub supports cost optimization by ensuring requests are routed to the most cost-efficient provider available. This helps manage expenditure on AI processes effectively. Its security dashboard even allows users to track potential cost savings in real-time.

How does the OpenSourceAIHub firewall work?

The OpenSourceAIHub firewall works by scanning each request for sensitive data and removing any such data before it is sent to third-party AI servers. This ensures that the AI models on the other side never receive any sensitive data like Personal Identifiable Information (PII), thus protecting users from potential data leaks.

What steps are required to set up OpenSourceAIHub?

To set up OpenSourceAIHub, three steps are required: first, the user must create an account. Second, they must point their API to OpenSourceAIHub. Finally, they must send their requests safely. This straightforward process allows ease of integration into existing systems.

What types of applications and services is OpenSourceAIHub compatible with?

OpenSourceAIHub is compatible with numerous applications and services. It supports several top Language Learning Models (LLMs), offering versatility and no vendor lock-in. Its compatibility extends to other services, like Google and GitHub, further enhancing its utility and versatility.

+ Show 34 more

Does OpenSourceAIHub ensure GDPR and PCI compliance?

Yes, OpenSourceAIHub ensures GDPR and PCI compliance. The tool includes capabilities for GDPR and PCI template inclusion, making it a safe choice for users that are concerned about compliance with data protection regulations.

Can OpenSourceAIHub be used with multiple Language Learning Models?

Yes, OpenSourceAIHub can be used with multiple Language Learning Models (LLMs). It offers the versatility of supporting several top LLMs, eliminating potential vendor lock-in and enhancing its overall utility and versatility.

How does OpenSourceAIHub enhance data security?

OpenSourceAIHub enhances data security by adding a vital layer of protection that sanitizes application prompts for sensitive data types before they reach AI models on third-party servers. This process screens out potentially sensitive details like names, emails, credit cards, or passwords. Additionally, the tool logs every request for user review, but refrains from storing any data within the tool itself, thus providing transparency without compromising data security.

What functions does the OpenSourceAIHub security dashboard provide?

The OpenSourceAIHub security dashboard provides a means of user control over AI requests. It enables real-time tracking of sensitive data protection and policy enforcement. In addition, it allows users to monitor potential cost savings associated with AI process expenditure.

What does OpenSourceAIHub mean by 'transparent logging'?

'Transparent logging' in the context of OpenSourceAIHub refers to the tool's feature where every request is logged for user review. However, no data is stored within the tool itself. This manner of transparency can assist users in understanding how the firewall is working and what data it's interacting with, while maintaining data privacy.

Who is the target audience for OpenSourceAIHub?

The target audience for OpenSourceAIHub includes both startups looking for data leak prevention methods, and backend engineers in search of a drop-in OpenAI SDK replacement with automatic PII removal and cost routing capabilities.

What types of sensitive data can OpenSourceAIHub protect against?

OpenSourceAIHub can protect against inadvertent transmission of various types of sensitive details. These include personal identifiable information (PII) such as names, emails, credit cards, or passwords.

Can OpenSourceAIHub be integrated into existing systems without major code alterations?

Yes, OpenSourceAIHub is designed to be integrated into existing systems with ease. It requires minimal code alterations, enabling users to incorporate it into their existing workflows with little effort.

How does OpenSourceAIHub handle personal identifiable information (PII)?

OpenSourceAIHub handles personal identifiable information (PII) by preventing it from being unintentionally transmitted to third-party AI models. The tool sanitizes application prompts for various types of PII, such as names, emails, credit cards, or passwords, ensuring these details do not reach the AI models in outbound requests.

Does OpenSourceAIHub allow real-time tracking of sensitive data protection?

Yes, OpenSourceAIHub allows real-time tracking of sensitive data protection. Its security dashboard enables users to view in real time how the tool is managing the protection of sensitive data and enforcing data safety policies.

How does OpenSourceAIHub avoid vendor lock-in?

OpenSourceAIHub avoids vendor lock-in by providing support for multiple Language Learning Models (LLMs). This offering means that requests can be routed to any number of different providers as necessary, depending on the most cost-efficient provider, user needs, or other factors.

What measures does OpenSourceAIHub take to ensure data privacy?

OpenSourceAIHub ensures data privacy by putting a robust security layer before AI models in third-party servers. This layer scans and sanitizes any sensitive data found in the application prompts before they reach the AI models. Furthermore, though every request is logged for user transparency, no data is stored within the tool itself.

How does OpenSourceAIHub handle policy enforcement?

OpenSourceAIHub handles policy enforcement through its security dashboard that allows users to monitor sensitive data protection and policy enforcement in real-time. In this way, users can consistently ensure that the best and most efficient safety practices are being followed.

What is the process of safe request sending in OpenSourceAIHub?

Safe request sending process in OpenSourceAIHub involves thorough inspection of each request for sensitive data, then cleaning and routing these requests to the most cost-efficient provider available. Plus, every request is logged and made available for user review on the security dashboard, ensuring full transparency.

What is OpenSourceAIHub and how does it work?

OpenSourceAIHub is a security gateway for the Open-Weights era, providing hardened firewall services for AI deployments. It ensures security, prevents AI data leaks, and helps to optimize expenditure by enforcing project budgets and token quotas. It uses real-time redaction to remove 28+ personally identifiable information (PII) entities from texts and images. In keeping with a privacy-first governance layer, it does not store, persist, or train on users' prompts or AI responses. The data only exists transiently during each API request and is immediately destroyed upon completion.

What is AI Firewall in the context of OpenSourceAIHub?

The AI Firewall in OpenSourceAIHub functions as a security layer between an application and large language model (LLM) providers. It scrutinizes every AI request for sensitive information such as social security numbers, credit card numbers, email addresses, and API keys, and redacts them before they reach any provider. This robust mechanism aids in preventing data leaks and in ensuring meeting compliance requirements such as GDPR, HIPAA, and PCI-DSS.

How can OpenSourceAIHub help with data protection?

OpenSourceAIHub actively scans every prompt for 28+ types of PII entities present either in text or images (via OCR). Any detected sensitive information, including social security numbers, credit card details, email addresses and API keys, is automatically redacted before being sent to the AI provider. This approach offers an additional line of defense against unintentional data leaks or inadvertent exposure of PII in AI interactions.

What models are compatible with OpenSourceAIHub?

OpenSourceAIHub is compatible with over 300+ models like Llama 3, OpenAI, Claude, Gemini and others. This compatibility ensures that teams can deploy a wide range of AI models optimally, while still retaining data sovereignty and benefiting from OpenSourceAIHub's security and cost-effective features.

How can OpenSourceAIHub help optimize costs?

OpenSourceAIHub's smart cost-routing feature optimizes costs by selecting the most efficient provider for each request across 100+ models. It also provides hard budget enforcement to keep AI spending in check. This feature is autonomous and it can help businesses save up to 90% as compared to GPT-4o, as it operates by navigating the lowest cost option from a pool of multiple AI providers.

What is the autonomous cost-optimized routing feature of OpenSourceAIHub?

Autonomous cost-optimized routing in OpenSourceAIHub works by directing each request to the most cost-effective provider out of 100+ models. This system is autonomous and routes requests on its own, optimizing provider choice based on cost efficiency. By using this system, users can avoid wasteful AI spending and enjoy potential savings of up to 90% compared to GPT-4o.

How does OpenSourceAIHub handle sensitive data?

OpenSourceAIHub meticulously handles sensitive data by scanning each AI request for 28+ types of personally identifiable information (PII), including social security numbers, credit card numbers, email addresses, and API keys. Using Optical Character Recognition (OCR), it also tests images for hidden PII. All detected sensitive data is automatically redacted before it reaches any third-party server. Importantly, no prompt or AI response data is stored or persisted by OpenSourceAIHub, it only temporarily exists in server memory during each API request and is immediately destroyed post completion.

Can OpenSourceAIHub prevent vendor lock-ins?

OpenSourceAIHub effectively helps prevent vendor lock-ins by providing a neutral governance layer that is compatible across many models and a range of AI providers such as OpenAI, Claude, Gemini, and Groq among others. This compatibility ensures that organizations are not restricted to a single vendor or model, and it promotes autonomy and choice in AI deployments.

What is Smart Routing feature of OpenSourceAIHub?

Smart Routing is a handy feature of OpenSourceAIHub that chooses the most efficient AI provider for every request among multiple models. It is an autonomous system that optimizes costs by navigating through a pool of multiple AI providers and selecting the most affordable option for a particular request.

What compliance regulations does OpenSourceAIHub adhere to?

OpenSourceAIHub operates in full adherence to multiple compliance regulations. It meets GDPR, HIPAA, and PCI-DSS compliance, offering reassurance to organizations that require stringent data protection regulations. The OpenSourceAIHub maintains exhaustive, audit-friendly security logs which allow it to verify these compliance credentials at any time required.

How does OpenSourceAIHub integrate with existing code?

Integration with OpenSourceAIHub is simple and can be achieved with just two lines of code. It is fully compatible with the OpenAI SDK. Users only need to generate an API key within their dashboard and adjust their codebase to point towards OpenSourceAIHub.

What does Stateless means in the context of OpenSourceAIHub?

Stateless in the context of OpenSourceAIHub refers to the practice of not storing, persisting, or training on user prompts or AI responses to ensure data sovereignty. OpenSourceAIHub adheres to a stateless security architecture where users' data exists only in volatile server memory (RAM) for the duration of each API request and is destroyed instantly upon completion, thereby achieving total data sovereignty.

What are key features included in OpenSourceAIHub's Pro Plan?

The Pro plan at OpenSourceAIHub, priced at $29 per month, offers several key features such as Bring Your Own Key (BYOK) option with 0% markup, ensuring the user retains complete control over their data. This also guarantees that they can use their preferred AI provider without having to worry about additional costs from OpenSourceAIHub. Additionally, the plan offers the full suite of features including the AI Firewall, Smart Routing, and Statelessness.

What is the free offer provided by OpenSourceAIHub upon sign-up?

OpenSourceAIHub offers an exclusive signup offer. You can get 1,000,000 free Hub credits upon signing up. These credits can be utilized towards using the variety of features and capabilities that OpenSourceAIHub provides, offering a substantial starting advantage for new users.

Does OpenSourceAIHub offer any cost control features?

OpenSourceAIHub offers numerous features to control costs and optimize AI deployment. It allows setting up per-project budgets and token quotas to keep track of spending. A built-in feature called Smart Routing autonomously routes AI requests to the most cost-effective provider, potentially saving up to 90% off the costs compared to using GPT-4o without the Hub.

How does OpenSourceAIHub ensure no data leaks occur?

OpenSourceAIHub ensures that no data leaks occur by implementing several robust data protection measures. It uses its AI Firewall to scan every AI request for sensitive information in real-time and redact such data before it reaches any provider. Furthermore, it does not store or persist any prompt content, ensuring the flow of sensitive data is minimized and it remains in control of the user.

How can OpenSourceAIHub enforce governance?

OpenSourceAIHub enforces governance by providing several key features including per-project budgets and token quotas. These features allow teams to have economic control over AI deployments. Audit-ready security logs provide the necessary transparency about every AI request, while the system ensures complete data sovereignty, as it doesn't persist any prompt content.

Is OpenSourceAIHub GDPR, HIPAA, and PCI-DSS compliance-ready?

OpenSourceAIHub is fully compliant with several major international security standards including General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI-DSS). These compliance credentials attest to OpenSourceAIHub's commitment to protecting sensitive data and maintaining best security practices.

What specific types of PII can OpenSourceAIHub detect and redact?

OpenSourceAIHub can detect and redact a wide range of PII entity types in both text and images via OCR. This includes but is not limited to social security numbers, credit card numbers, email addresses, and API keys. By keeping an active check on these specific PII types, OpenSourceAIHub ensures that sensitive data is not sent to third-party servers, thus contributing to a more robust data protection environment.

How does OpenSourceAIHub's Smart cost-routing work?

Smart cost-routing in OpenSourceAIHub is a feature that optimizes costs by automatically selecting the most efficient AI provider for each request across several models. This routing is done based on a real-time evaluation of service rates across different AI providers, allowing it to choose the most cost-effective option for the desired task on the fly. It aids in keeping the AI-related operations within budget, potentially leading to up to 90% savings compared to GPT-4o.

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AI Security Gateway

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